Alireza Momenzadeh
Computer Networks and Communications · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 25 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
Whom Alireza Momenzadeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Alireza Momenzadeh's perspective
Ordered by how strongly the researchers Alireza Momenzadeh trusts endorse each paper. Same corpus, a different order for every researcher.
- MAUI: making smartphones last longer with code offload (ACM SIGMOBILE International Conference on Mobile Systems, Applications, and Services)
- CloneCloud: elastic execution between mobile device and cloud (European Conference on Computer Systems)
- ThinkAir: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading (2012 Proceedings IEEE INFOCOM)
- Edge-centric Computing: Vision and Challenges
- A Survey of Mobile Cloud Computing Application Models
- A Survey on Mobile Edge Computing: The Communication Perspective
- DREAM: Dynamic Resource and Task Allocation for Energy Minimization in Mobile Cloud Systems (IEEE Journal on Selected Areas in Communications)
- ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping (IEEE/ACM Transactions on Networking)
- A Framework for Partitioning and Execution of Data Stream Applications in Mobile Cloud Computing (2012 IEEE Fifth International Conference on Cloud Computing)
- All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (Journal of systems architecture)
Their papers
- EcoMobiFog–Design and Dynamic Optimization of a 5G Mobile-Fog-Cloud Multi-Tier Ecosystem for the Real-Time Distributed Execution of Stream Applications (2019) — 36 citations
- Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications (2020) — 32 citations